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1
Extreme learning machine to graph convolutional networks
Extreme learning machine to graph convolutional networks
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Extreme learning machine to graph convolutional networks

Thales Gonçalves Francisco Aparecido Rodrigues; Brazilian Conference on Intelligent Systems - BRACIS (11. 2022 Campinas)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13654, p. 601-615, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3122930 )(Acessar)

2
Lawsuits document images processing classification
Lawsuits document images processing classification
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Lawsuits document images processing classification

Daniela Lopes Freire André Carlos Ponce de Leon Ferreira de Carvalho; Leonardo Carneiro Feltran; Lara Ayumi Nagamatsu; Kelly Cristina Ramos da Silva; Claudemir Firmino; João Eduardo Ferreira; Pedro Losco Takecian; Danilo Panzeri Carlotti; Francisco Antonio Cavalcanti Lima; Roberto Mendes Portela; Conference on Artificial Intelligence - EPIA (21. 2022 Lisbon, Portugal)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13566, p. 41-52, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3096134 ) e outros locais(Acessar)

3
Content-based lawsuits document image retrieval
Content-based lawsuits document image retrieval
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Content-based lawsuits document image retrieval

Daniela Lopes Freire André Carlos Ponce de Leon Ferreira de Carvalho; Leonardo Carneiro Feltran; Lara Ayumi Nagamatsu; Kelly Cristina Ramos da Silva; Claudemir Firmino; João Eduardo Ferreira; Pedro Losco Takecian; Danilo Panzeri Carlotti; Francisco Antonio Cavalcanti Lima; Roberto Mendes Portela; Conference on Artificial Intelligence - EPIA (21. 2022 Lisbon, Portugal)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13566, p. 29-40, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3123191 ) e outros locais(Acessar)

4
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
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Artigo de Congresso 		Adicionar ao Meu Espaço

Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection

Victor M. G. dos Santos Rodrigo Fernandes de Mello; Tatiane Nogueira; Ricardo A Rios; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 650-664, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008282 )(Acessar)

5
Particle competition for unbalanced community detection in complex networks
Particle competition for unbalanced community detection in complex networks
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Particle competition for unbalanced community detection in complex networks

Luan Vinicius Carvalho Martins Zhao Liang; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 322-336, 2020

Cham Springer 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3008291 Acervo Digital ) e outros locais(Acessar)

6
Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network
Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network
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Predicting the evolution of COVID-19 cases and deaths through a correlations-based temporal network

Tiago Santos Colliri Alexandre Cláudio Botazzo Delbem; Zhao Liang; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 397-411, 2020

Cham Springer 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3008293 Acervo Digital ) e outros locais(Acessar)

7
Secure 5G Network Slicing for Elderly Care
Secure 5G Network Slicing for Elderly Care
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Secure 5G Network Slicing for Elderly Care

Feng, Boning ; Do, Thuan Van ; Jacot, Niels ; Santos, Bernardo ; Dzogovic, Bruno ; Brandsma, Ewout ; Do, van Thanh

Lecture Notes in Artificial Intelligence, 2019

Springer Verlag

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8
Link prediction in complex networks based on cluster information
Link prediction in complex networks based on cluster information
Material Type:
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Link prediction in complex networks based on cluster information

Jorge Carlos Valverde-Rebaza Alneu de Andrade Lopes; Brazilian Symposium on Artificial Intelligence : Advances in Artificial Intelligence - SBIA (21. 2012 Curitiba)

Lecture Notes in Artificial Intelligence Berlin : Springer-Verlag v. 7589, p. 92-101, 2012

Berlin Springer-Verlag 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2312726 ) e outros locais(Acessar)

9
Uncovering overlap community structure in complex networks using particle competition
Uncovering overlap community structure in complex networks using particle competition
Material Type:
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Uncovering overlap community structure in complex networks using particle competition

Fabricio Breve Zhao Liang; Marcos Quiles; International Conference on Artificial Intelligence and Computational Intelligence - AICI (2009 Shangai)

Lecture Notes in Artificial Intelligence Berlin : Springer-Verlag v. 5855, p. 619-628, 2009

Berlin Springer-Verlag 2009

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2884637 )(Acessar)

10
A comprehensible SOM-based scoring system
A comprehensible SOM-based scoring system
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A comprehensible SOM-based scoring system

Huysmans, Johan ; Baesens, Bart ; Vanthienen, Jan Perner, P ; Imiya, A

Lecture Notes in Artificial Intelligence, 2005, Vol.3587, p.80-89 [Periódico revisado por pares]

Springer Verlag

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